PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-21 10:20:59.119056+00:00 (UTC)
In US/Central Time, this is 2024-05-21 05:20:59.119056-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/f7387615a6b91205c4252f102f25ba568ce50a1d95d3569cd7ef300881c95704.png
We are just generating a random time serie here.
../_images/77f93941bd83f2c9da4f215497e057e9bfd78241fbfe3650f5486d4a123cbe0c.png
../_images/ffbb8bf2f3d64f712e7141ecee4766cf5d83f5805375b0c82e4904c0437b2ba1.png